Faculty profile

Johanne Tremblay

ResearcherMedicineUniversité de Montréal

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Université de Montréal directory, so their courses may be missing. Find their university profile.

Johanne Tremblay

Researcher

Medicine

Health Sciences

Université de Montréal

Montreal, Quebec, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
4 publications in the last five years, latest in 2025.
Principal investigator on 1 research grant (1 CIHR), most recently in 2013.
Supervisor on 1 trainee award (1 CIHR), most recently in 2015.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

1,166

Citations

Collaborators

Grants

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

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Signals and details

Research

Diabetes Differentiation Hcarg Hypertension Kidney Repair Molecular Genetics

Latest papers

Leveraging hierarchical structures for genetic block interaction studies using the hierarchical transformer.
medRxiv : the preprint server for health sciences · 2025
X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.
Nature communications · 2024
Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals
Communications Biology · 2022

All 64 publications

Latest funding

HCaRG/EGFR SIGNALING: A NOVEL MECHANISM OF REPAIR AFTER KIDNEY INJURY
CIHR · 2015 · Supervisor
$50,625
HCaRG: a gene involved in hypertension-induced renal failure
CIHR · 2013 · Nominated PI
$803,253
Telomere attrition rate as predictor of cardiovascular complications of type 2 diabetes
CIHR · 2010 · Co-investigator
$1,454,272

All 3 grants and awards

64 publications.

Leveraging hierarchical structures for genetic block interaction studies using the hierarchical transformer.

Li S, Arora S, Attaoua R, Hamet P, Tremblay J, Bihlo A, Liu B, Rutter G

medRxiv : the preprint server for health sciences2025

DOI: 10.1101/2024.11.18.24317486 PMID: 39606365

X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.

Scholz M, Horn K, Pott J, Wuttke M, Kühnapfel A, Nasr MK, Kirsten H, Li Y, Hoppmann A, Gorski M, Ghasemi S, Li M, Tin A, Chai JF, Cocca M, Wang J, Nutile T, Akiyama M, Åsvold BO, Bansal N, Biggs ML, Boutin T, Brenner H, Brumpton B, Burkhardt R, Cai J, Campbell A, Campbell H, Chalmers J, Chasman DI, Chee ML, Chee ML, Chen X, Cheng CY, Cifkova R, Daviglus M, Delgado G, Dittrich K, Edwards TL, Endlich K, Michael Gaziano J, Giri A, Giulianini F, Gordon SD, Gudbjartsson DF, Hallan S, Hamet P, Hartman CA, Hayward C, Heid IM, Hellwege JN, Holleczek B, Holm H, Hutri-Kähönen N, Hveem K, Isermann B, Jonas JB, Joshi PK, Kamatani Y, Kanai M, Kastarinen M, Khor CC, Kiess W, Kleber ME, Körner A, Kovacs P, Krajcoviechova A, Kramer H, Krämer BK, Kuokkanen M, Kähönen M, Lange LA, Lash JP, Lehtimäki T, Li H, Lin BM, Liu J, Loeffler M, Lyytikäinen LP, Magnusson PKE, Martin NG, Matsuda K, Milaneschi Y, Mishra PP, Mononen N, Montgomery GW, Mook-Kanamori DO, Mychaleckyj JC, März W, Nauck M, Nikus K, Nolte IM, Noordam R, Okada Y, Olafsson I, Oldehinkel AJ, Penninx BWJH, Perola M, Pirastu N, Polasek O, Porteous DJ, Poulain T, Psaty BM, Rabelink TJ, Raffield LM, Raitakari OT, Rasheed H, Reilly DF, Rice KM, Richmond A, Ridker PM, Rotter JI, Rudan I, Sabanayagam C, Salomaa V, Schneiderman N, Schöttker B, Sims M, Snieder H, Stark KJ, Stefansson K, Stocker H, Stumvoll M, Sulem P, Sveinbjornsson G, Svensson PO, Tai ES, Taylor KD, Tayo BO, Teren A, Tham YC, Thiery J, Thio CHL, Thomas LF, Tremblay J, Tönjes A, van der Most PJ, Vitart V, Völker U, Wang YX, Wang C, Wei WB, Whitfield JB, Wild SH, Wilson JF, Winkler TW, Wong TY, Woodward M, Sim X, Chu AY, Feitosa MF, Thorsteinsdottir U, Hung AM, Teumer A, Franceschini N, Parsa A, Köttgen A, Schlosser P, Pattaro C

Nature communications2024

DOI: 10.1038/s41467-024-44709-1 PMID: 38233393

Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

Winkler TW, Rasheed H, Teumer A, Gorski M, Rowan BX, Stanzick KJ, Thomas LF, Tin A, Hoppmann A, Chu AY

Communications Biology202236 citations

DOI: 10.1038/s42003-022-03448-z

Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies.

Gorski M, Rasheed H, Teumer A, Thomas LF, Graham SE, Sveinbjornsson G, Winkler TW, Günther F, Stark KJ, Chai JF, Tayo BO, Wuttke M, Li Y, Tin A, Ahluwalia TS, Ärnlöv J, Åsvold BO, Bakker SJL, Banas B, Bansal N, Biggs ML, Biino G, Böhnke M, Boerwinkle E, Bottinger EP, Brenner H, Brumpton B, Carroll RJ, Chaker L, Chalmers J, Chee ML, Chee ML, Cheng CY, Chu AY, Ciullo M, Cocca M, Cook JP, Coresh J, Cusi D, de Borst MH, Degenhardt F, Eckardt KU, Endlich K, Evans MK, Feitosa MF, Franke A, Freitag-Wolf S, Fuchsberger C, Gampawar P, Gansevoort RT, Ghanbari M, Ghasemi S, Giedraitis V, Gieger C, Gudbjartsson DF, Hallan S, Hamet P, Hishida A, Ho K, Hofer E, Holleczek B, Holm H, Hoppmann A, Horn K, Hutri-Kähönen N, Hveem K, Hwang SJ, Ikram MA, Josyula NS, Jung B, Kähönen M, Karabegović I, Khor CC, Koenig W, Kramer H, Krämer BK, Kühnel B, Kuusisto J, Laakso M, Lange LA, Lehtimäki T, Li M, Lieb W, Lifelines Cohort Study, Lind L, Lindgren CM, Loos RJF, Lukas MA, Lyytikäinen LP, Mahajan A, Matias-Garcia PR, Meisinger C, Meitinger T, Melander O, Milaneschi Y, Mishra PP, Mononen N, Morris AP, Mychaleckyj JC, Nadkarni GN, Naito M, Nakatochi M, Nalls MA, Nauck M, Nikus K, Ning B, Nolte IM, Nutile T, O'Donoghue ML, O'Connell J, Olafsson I, Orho-Melander M, Parsa A, Pendergrass SA, Penninx BWJH, Pirastu M, Preuss MH, Psaty BM, Raffield LM, Raitakari OT, Rheinberger M, Rice KM, Rizzi F, Rosenkranz AR, Rossing P, Rotter JI, Ruggiero D, Ryan KA, Sabanayagam C, Salvi E, Schmidt H, Schmidt R, Scholz M, Schöttker B, Schulz CA, Sedaghat S, Shaffer CM, Sieber KB, Sim X, Sims M, Snieder H, Stanzick KJ, Thorsteinsdottir U, Stocker H, Strauch K, Stringham HM, Sulem P, Szymczak S, Taylor KD, Thio CHL, Tremblay J, Vaccargiu S, van der Harst P, van der Most PJ, Verweij N, Völker U, Wakai K, Waldenberger M, Wallentin L, Wallner S, Wang J, Waterworth DM, White HD, Willer CJ, Wong TY, Woodward M, Yang Q, Yerges-Armstrong LM, Zimmermann M, Zonderman AB, Bergler T, Stefansson K, Böger CA, Pattaro C, Köttgen A, Kronenberg F, Heid IM

Kidney international2022

DOI: 10.1016/j.kint.2022.05.021 PMID: 35716955

Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline.

Gorski M, Jung B, Li Y, Matias-Garcia PR, Wuttke M, Coassin S, Thio CHL, Kleber ME, Winkler TW, Wanner V, Chai JF, Chu AY, Cocca M, Feitosa MF, Ghasemi S, Hoppmann A, Horn K, Li M, Nutile T, Scholz M, Sieber KB, Teumer A, Tin A, Wang J, Tayo BO, Ahluwalia TS, Almgren P, Bakker SJL, Banas B, Bansal N, Biggs ML, Boerwinkle E, Bottinger EP, Brenner H, Carroll RJ, Chalmers J, Chee ML, Chee ML, Cheng CY, Coresh J, de Borst MH, Degenhardt F, Eckardt KU, Endlich K, Franke A, Freitag-Wolf S, Gampawar P, Gansevoort RT, Ghanbari M, Gieger C, Hamet P, Ho K, Hofer E, Holleczek B, Xian Foo VH, Hutri-Kähönen N, Hwang SJ, Ikram MA, Josyula NS, Kähönen M, Khor CC, Koenig W, Kramer H, Krämer BK, Kühnel B, Lange LA, Lehtimäki T, Lieb W, Lifelines Cohort Study, Regeneron Genetics Center, Loos RJF, Lukas MA, Lyytikäinen LP, Meisinger C, Meitinger T, Melander O, Milaneschi Y, Mishra PP, Mononen N, Mychaleckyj JC, Nadkarni GN, Nauck M, Nikus K, Ning B, Nolte IM, O'Donoghue ML, Orho-Melander M, Pendergrass SA, Penninx BWJH, Preuss MH, Psaty BM, Raffield LM, Raitakari OT, Rettig R, Rheinberger M, Rice KM, Rosenkranz AR, Rossing P, Rotter JI, Sabanayagam C, Schmidt H, Schmidt R, Schöttker B, Schulz CA, Sedaghat S, Shaffer CM, Strauch K, Szymczak S, Taylor KD, Tremblay J, Chaker L, van der Harst P, van der Most PJ, Verweij N, Völker U, Waldenberger M, Wallentin L, Waterworth DM, White HD, Wilson JG, Wong TY, Woodward M, Yang Q, Yasuda M, Yerges-Armstrong LM, Zhang Y, Snieder H, Wanner C, Böger CA, Köttgen A, Kronenberg F, Pattaro C, Heid IM

Kidney international2021

DOI: 10.1016/j.kint.2020.09.030 PMID: 33137338

Correction to: Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control.

Tremblay J, Haloui M, Attaoua R, Tahir R, Hishmih C, Harvey F, Marois-Blanchet FC, Long C, Simon P, Santucci L, Hizel C, Chalmers J, Marre M, Harrap S, Cífková R, Krajčoviechová A, Matthews DR, Williams B, Poulter N, Zoungas S, Colagiuri S, Mancia G, Grobbee DE, Rodgers A, Liu L, Agbessi M, Bruat V, Favé MJ, Harwood MP, Awadalla P, Woodward M, Hussin JG, Hamet P

Diabetologia2021First author

DOI: 10.1007/s00125-021-05544-x PMID: 34448881

Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control.

Diabetologia2021First author

DOI: 10.1007/s00125-021-05491-7 PMID: 34226943

Economic Evaluation of a New Polygenic Risk Score to Predict Nephropathy in Adult Patients With Type 2 Diabetes.

Guinan K, Beauchemin C, Tremblay J, Chalmers J, Woodward M, Tahir MR, Hamet P, Lachaine J

Canadian journal of diabetes2021

DOI: 10.1016/j.jcjd.2020.06.010 PMID: 33032912

A catalog of genetic loci associated with kidney function from analyses of a million individuals

Wuttke M, Li Y, Li M, Sieber KB, Feitosa MF, Gorski M, Tin A, Wang L, Chu AY, Hoppmann A

Nature Genetics2019893 citations

DOI: 10.1038/s41588-019-0407-x

Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria

Teumer A, Li Y, Ghasemi S, Prins BP, Wuttke M, Hermle T, Giri A, Sieber KB, Qiu C, Kirsten H

Nature Communications2019237 citations

DOI: 10.1038/s41467-019-11576-0

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Johanne Tremblay

Research

Latest papers

Latest funding

Leveraging hierarchical structures for genetic block interaction studies using the hierarchical transformer.

X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.

Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies.

Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline.

Correction to: Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control.

Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control.

Economic Evaluation of a New Polygenic Risk Score to Predict Nephropathy in Adult Patients With Type 2 Diabetes.

A catalog of genetic loci associated with kidney function from analyses of a million individuals

Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria

HCaRG/EGFR SIGNALING: A NOVEL MECHANISM OF REPAIR AFTER KIDNEY INJURY

HCaRG: a gene involved in hypertension-induced renal failure

Telomere attrition rate as predictor of cardiovascular complications of type 2 diabetes

Frequent collaborators

Pavel Hamet

Jiangping Wu

Eric Thorin

Eric Thorin

Kozeta Miliku

Louise Pilote

Philip Awadalla

Louise Pilote

Gilles Paradis

Kaberi Dasgupta

Zdenka Pausova

Jennifer O'Loughlin

Guy Rutter

Kaberi Dasgupta

Marie-Pierre Sylvestre

Julie Lavoie

Guy Cloutier